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international journals with peer review Outstanding knowledge in statistical and quantitative analyses methods; preferable are also experiences with longitudinal studies and the analysis of longitudinal data
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 25 days ago
biological systems, prior experience in biological modeling and in transcriptomic data analysis. Proficiency in programming (e.g., Python, R) and familiarity with high-performance computing environments
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per week) and is not appropriate for part-time work. The starting date is as soon as possible. The position is based in the Microbial Ecology and Diversity research group and focuses on the analysis and
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policy. The Institute works on an interdisciplinary basis and is highly networked both nationally and internationally. About the position We are looking for a 100% postdoctoral research associate beginning
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the Excellence Cluster for Systems Neurology (SyNergy ) and a Leducq Network on Brain Endothelial Cells. Our environment As part of the DFG-funded Excellence Cluster SyNergy, member of large collaborative research
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, and benchmarking experiments Support of user experiments, commissioning and in-house research at MID Data analysis and publication of scientific results Requirements PhD degree in physics or a related
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analysis. The Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi
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Your Job: This work will be performed as part of an agile team unified by a common goal: An Industry partner from semen production provides fresh sperm cells and pre-analysis. A second industry
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. • documentation of all relevant aspects of the survey in a database. • analysis of the arthropod datasets1, focusing in particular on the interactive effects between climate and land use, in collaboration with
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multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map the genomic landscape of male infertility, particularly focusing on non-obstructive